The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-25"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "9609829 (up from 9430516 yesterday: 1.9 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "489312 (up from 482753 yesterday: 1.36 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.09



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2422299 40806 1.71 124410 2430 1.99 5.14
Brazil 1228114 39483 3.32 54971 1141 2.12 4.48
Russia 613148 7105 1.17 8594 91 1.07 1.40
India 490401 17296 3.66 15301 407 2.73 3.12
United Kingdom 309455 1118 0.36 43314 149 0.35 14.00
Peru 268602 3913 1.48 8761 175 2.04 3.26
Chile 259064 4648 1.83 4903 172 3.64 1.89
Spain 247486 400 0.16 28330 3 0.01 11.45
Italy 239706 296 0.12 34678 34 0.10 14.47
Iran 215096 2595 1.22 10130 134 1.34 4.71
Mexico 202951 6104 3.10 25060 736 3.03 12.35
France 197885 0 0.00 29755 21 0.07 15.04
Pakistan 195745 2775 1.44 3962 59 1.51 2.02
Germany 193371 500 0.26 8940 12 0.13 4.62
Turkey 193115 1458 0.76 5046 21 0.42 2.61
Saudi Arabia 170639 3372 2.02 1428 41 2.96 0.84
Bangladesh 126606 3946 3.22 1621 39 2.47 1.28
South Africa 118375 6579 5.88 2292 87 3.95 1.94
Canada 104463 376 0.36 8567 23 0.27 8.20
Qatar 91838 1060 1.17 106 2 1.92 0.12
China 84701 28 0.03 4641 1 0.02 5.48
Colombia 77313 3553 4.82 2611 87 3.45 3.38
Sweden 63890 1566 2.51 5230 21 0.40 8.19
Egypt 61130 1569 2.63 2533 83 3.39 4.14
Belgium 61007 109 0.18 9726 4 0.04 15.94
Belarus 60382 437 0.73 367 5 1.38 0.61
Ecuador 53156 1513 2.93 4343 69 1.61 8.17
Argentina 52457 2606 5.23 1150 34 3.05 2.19
Indonesia 50187 1178 2.40 2620 47 1.83 5.22
Netherlands 50122 110 0.22 6119 3 0.05 12.21
United Arab Emirates 46563 430 0.93 308 1 0.33 0.66
Kuwait 42788 909 2.17 339 2 0.59 0.79
Singapore 42736 113 0.27 26 0 0.00 0.06
Ukraine 40854 1002 2.51 1078 17 1.60 2.64
Portugal 40415 311 0.78 1549 6 0.39 3.83
Iraq 39139 2437 6.64 1437 107 8.05 3.67
Oman 34902 1366 4.07 144 2 1.41 0.41
Poland 33119 298 0.91 1412 16 1.15 4.26
Philippines 33069 774 2.40 1212 8 0.66 3.67
Switzerland 31428 52 0.17 1958 0 0.00 6.23
Afghanistan 30175 535 1.80 675 36 5.63 2.24
Dominican Republic 29141 510 1.78 698 7 1.01 2.40
Panama 29037 1007 3.59 564 17 3.11 1.94
Bolivia 28503 1016 3.70 913 37 4.22 3.20
Ireland 25405 9 0.04 1727 1 0.06 6.80
Romania 25286 460 1.85 1565 10 0.64 6.19
Bahrain 24081 511 2.17 71 2 2.90 0.29
Nigeria 22614 594 2.70 549 7 1.29 2.43
Armenia 22488 771 3.55 397 11 2.85 1.77
Israel 22400 356 1.61 309 1 0.32 1.38
Kazakhstan 19750 465 2.41 140 4 2.94 0.71
Japan 18055 92 0.51 971 4 0.41 5.38
Austria 17477 28 0.16 698 5 0.72 3.99
Guatemala 15619 800 5.40 623 22 3.66 3.99
Ghana 15473 460 3.06 95 0 0.00 0.61
Moldova 15453 375 2.49 502 7 1.41 3.25
Honduras 15366 795 5.46 426 9 2.16 2.77
Azerbaijan 14852 547 3.82 180 6 3.45 1.21
Serbia 13372 137 1.04 264 1 0.38 1.97
Denmark 12836 21 0.16 603 0 0.00 4.70
Korea, South 12602 39 0.31 282 0 0.00 2.24
Cameroon 12592 0 0.00 313 0 0.00 2.49
Algeria 12445 197 1.61 878 9 1.04 7.06
Morocco 11338 431 3.95 217 1 0.46 1.91
Nepal 11162 434 4.05 26 2 8.33 0.23
Czechia 10870 93 0.86 345 2 0.58 3.17
Sudan 8984 95 1.07 556 8 1.46 6.19
Norway 8788 0 0.00 249 0 0.00 2.83
Malaysia 8600 4 0.05 121 0 0.00 1.41
Cote d’Ivoire 8334 170 2.08 60 2 3.45 0.72
Australia 7595 37 0.49 104 0 0.00 1.37
Uzbekistan 7177 187 2.68 20 1 5.26 0.28
Finland 7172 5 0.07 327 0 0.00 4.56
Congo (Kinshasa) 6411 198 3.19 142 0 0.00 2.21
Senegal 6233 104 1.70 94 1 1.08 1.51
Tajikistan 5691 61 1.08 52 0 0.00 0.91
North Macedonia 5595 150 2.75 265 6 2.32 4.74
Haiti 5543 114 2.10 96 4 4.35 1.73
Kenya 5384 178 3.42 132 2 1.54 2.45
El Salvador 5336 186 3.61 126 7 5.88 2.36
Ethiopia 5175 141 2.80 81 3 3.85 1.57
Guinea 5174 0 0.00 29 0 0.00 0.56
Gabon 5087 131 2.64 40 1 2.56 0.79

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 390415 749 0.19 31301 44 0.14 8.02 20069.08 1609.01 1 in 50
California 201112 5187 2.65 5806 81 1.41 2.89 5089.87 146.94 1 in 196
New Jersey 170196 304 0.18 14872 1796 13.74 8.74 19161.49 1674.36 1 in 52
Illinois 139434 894 0.65 6810 40 0.59 4.88 11003.47 537.41 1 in 91
Texas 134558 6426 5.02 2317 47 2.07 1.72 4640.59 79.91 1 in 215
Florida 114018 5004 4.59 3327 46 1.40 2.92 5308.66 154.90 1 in 188
Massachusetts 107837 226 0.21 7962 25 0.31 7.38 15517.22 1145.69 1 in 64
Pennsylvania 88141 456 0.52 6557 39 0.60 7.44 6884.95 512.19 1 in 145
Georgia 71095 1714 2.47 2745 47 1.74 3.86 6696.07 258.54 1 in 149
Michigan 68989 434 0.63 6133 19 0.31 8.89 6907.98 614.11 1 in 145
Maryland 65777 440 0.67 3129 21 0.68 4.76 10880.00 517.56 1 in 92
Arizona 63281 3091 5.14 1495 28 1.91 2.36 8310.16 196.33 1 in 120
Virginia 59946 432 0.73 1675 14 0.84 2.79 7023.12 196.24 1 in 142
North Carolina 57472 945 1.67 1336 11 0.83 2.32 5479.74 127.38 1 in 182
Louisiana 53415 938 1.79 3164 12 0.38 5.92 11490.08 680.61 1 in 87
Ohio 47651 892 1.91 2772 17 0.62 5.82 4076.53 237.14 1 in 245
Connecticut 45994 81 0.18 4298 11 0.26 9.34 12900.50 1205.51 1 in 78
Indiana 43655 515 1.19 2586 8 0.31 5.92 6484.49 384.12 1 in 154
Tennessee 38034 799 2.15 567 11 1.98 1.49 5566.08 82.98 1 in 180
Minnesota 34123 360 1.07 1441 9 0.63 4.22 6050.57 255.51 1 in 165
Alabama 33206 1142 3.56 896 5 0.56 2.70 6772.33 182.74 1 in 148
Colorado 31463 324 1.04 1669 2 0.12 5.30 5463.53 289.82 1 in 183
Washington 30367 498 1.67 1300 7 0.54 4.28 3987.84 170.72 1 in 251
South Carolina 29022 1125 4.03 693 10 1.46 2.39 5636.75 134.60 1 in 177
Iowa 27373 772 2.90 696 6 0.87 2.54 8675.88 220.60 1 in 115
Wisconsin 26227 464 1.80 766 9 1.19 2.92 4504.47 131.56 1 in 222
Mississippi 24516 1092 4.66 1016 5 0.49 4.14 8237.49 341.38 1 in 121
Missouri 19637 514 2.69 987 2 0.20 5.03 3199.55 160.82 1 in 313
Utah 19374 590 3.14 164 1 0.61 0.85 6043.12 51.15 1 in 165
Nebraska 18346 125 0.69 260 3 1.17 1.42 9484.04 134.41 1 in 105
Arkansas 18062 687 3.95 240 0 0.00 1.33 5985.11 79.53 1 in 167
Rhode Island 16640 34 0.20 920 8 0.88 5.53 15707.58 868.45 1 in 64
Nevada 14859 1331 9.84 495 6 1.23 3.33 4824.11 160.71 1 in 207
Kentucky 14617 254 1.77 546 8 1.49 3.74 3271.73 122.21 1 in 306
Kansas 13107 177 1.37 262 2 0.77 2.00 4499.00 89.93 1 in 222
Oklahoma 11948 438 3.81 375 3 0.81 3.14 3019.48 94.77 1 in 331
New Mexico 11192 202 1.84 485 5 1.04 4.33 5337.58 231.30 1 in 187
Delaware 10980 91 0.84 507 2 0.40 4.62 11275.83 520.66 1 in 89
District of Columbia 10159 31 0.31 543 2 0.37 5.35 14394.64 769.40 1 in 69
Oregon 7568 124 1.67 197 2 1.03 2.60 1794.33 46.71 1 in 557
Puerto Rico 6877 57 0.84 151 2 1.34 2.20 2153.31 47.28 1 in 464
South Dakota 6479 60 0.93 87 3 3.57 1.34 7323.73 98.34 1 in 137
New Hampshire 5638 40 0.71 357 10 2.88 6.33 4146.47 262.56 1 in 241
Idaho 4865 463 10.52 90 1 1.12 1.85 2714.75 50.22 1 in 368
North Dakota 3393 31 0.92 78 0 0.00 2.30 4452.39 102.35 1 in 225
Maine 3070 53 1.76 103 0 0.00 3.36 2283.87 76.62 1 in 438
West Virginia 2694 63 2.39 92 0 0.00 3.41 1507.43 51.48 1 in 663
Wyoming 1326 44 3.43 20 0 0.00 1.51 2291.11 34.56 1 in 436
Vermont 1191 7 0.59 56 0 0.00 4.70 1908.69 89.75 1 in 524
Hawaii 851 16 1.92 17 0 0.00 2.00 601.04 12.01 1 in 1664
Alaska 813 24 3.04 12 0 0.00 1.48 1111.35 16.40 1 in 900
Montana 803 37 4.83 21 0 0.00 2.62 751.33 19.65 1 in 1331

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 3619594 390415 10.79 186063.31
California 3694345 201112 5.44 93498.79
New Jersey 1320910 170196 12.88 148714.45
Illinois 1461527 139434 9.54 115336.78
Texas 1659340 134558 8.11 57226.75
Florida 1720644 114018 6.63 80112.91
Massachusetts 805456 107837 13.39 115901.24
Pennsylvania 704801 88141 12.51 55054.02
Georgia 757924 71095 9.38 71384.93
Michigan 962839 68989 7.17 96410.61
Maryland 498959 65777 13.18 82531.49
Arizona 464196 63281 13.63 60958.97
Virginia 592966 59946 10.11 69470.41
North Carolina 811278 57472 7.08 77352.36
Louisiana 660665 53415 8.09 142115.35
Ohio 699630 47651 6.81 59853.20
Connecticut 408943 45994 11.25 114701.28
Indiana 444252 43655 9.83 65988.94
Tennessee 727549 38034 5.23 106473.07
Minnesota 542696 34123 6.29 96228.97
Alabama 369458 33206 8.99 75350.61
Colorado 296065 31463 10.63 51411.46
Washington 495498 30367 6.13 65069.59
South Carolina 333358 29022 8.71 64745.88
Iowa 277054 27373 9.88 87812.31
Wisconsin 527666 26227 4.97 90626.36
Mississippi 265997 24516 9.22 89376.24
Missouri 341648 19637 5.75 55666.31
Utah 312054 19374 6.21 97335.65
Nebraska 163170 18346 11.24 84351.39
Arkansas 277380 18062 6.51 91913.88
Rhode Island 228140 16640 7.29 215356.24
Nevada 255550 14859 5.81 82966.58
Kentucky 342882 14617 4.26 76747.34
Kansas 161705 13107 8.11 55505.52
Oklahoma 304965 11948 3.92 77070.31
New Mexico 308105 11192 3.63 146938.54
Delaware 100992 10980 10.87 103713.01
District of Columbia 86731 10159 11.71 122892.13
Oregon 216618 7568 3.49 51358.82
Puerto Rico 6877 6877 100.00 2153.31
South Dakota 75854 6479 8.54 85743.77
New Hampshire 111566 5638 5.05 82051.26
Idaho 80539 4865 6.04 44942.01
North Dakota 99444 3393 3.41 130493.32
Maine 87598 3070 3.50 65166.80
West Virginia 158704 2694 1.70 88802.99
Wyoming 30195 1326 4.39 52171.97
Vermont 60709 1191 1.96 97291.78
Hawaii 71935 851 1.18 50806.15
Alaska 99452 813 0.82 135947.89
Montana 78332 803 1.03 73291.18

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 152765 5024 3.40 79815 52.25 65829 7106 175 2.52 4.65
Delhi 77240 3460 4.69 47091 60.97 27657 2492 63 2.59 3.23
Tamil Nadu 74622 3645 5.14 41357 55.42 32308 957 46 5.05 1.28
Gujarat 30158 580 1.96 22038 73.08 6348 1772 18 1.03 5.88
Uttar Pradesh 20943 750 3.71 13583 64.86 6730 630 19 3.11 3.01
Rajasthan 16660 364 2.23 13062 78.40 3218 380 1 0.26 2.28
West Bengal 16190 542 3.46 10535 65.07 5039 616 10 1.65 3.80
Haryana 12884 421 3.38 8016 62.22 4657 211 13 6.57 1.64
Madhya Pradesh 12798 203 1.61 9804 76.61 2448 546 4 0.74 4.27
Telangana 12349 985 8.67 4766 38.59 7346 237 7 3.04 1.92
Andhra Pradesh 11489 605 5.56 5196 45.23 6147 146 10 7.35 1.27
Karnataka 11005 445 4.21 6918 62.86 3903 180 10 5.88 1.64
Bihar 8678 190 2.24 6669 76.85 1953 56 0 0.00 0.65
State Unassigned 8123 -370 -4.36 0 0.00 8123 0 0 NaN 0.00
Assam 6920 549 8.62 4248 61.39 2660 9 0 0.00 0.13
Jammu and Kashmir 6762 213 3.25 4080 60.34 2591 91 1 1.11 1.35
Odisha 6180 218 3.66 4422 71.55 1734 24 0 0.00 0.39
Punjab 4957 188 3.94 3201 64.58 1634 122 2 1.67 2.46
Kerala 3877 150 4.02 2006 51.74 1846 23 0 0.00 0.59
Uttarakhand 2725 34 1.26 1822 66.86 848 37 1 2.78 1.36
Chhattisgarh 2545 89 3.62 1885 74.07 647 13 1 8.33 0.51
Jharkhand 2294 33 1.46 1647 71.80 635 12 0 0.00 0.52
Tripura 1331 36 2.78 1062 79.79 268 1 0 0.00 0.08
Manipur 1075 19 1.80 393 36.56 682 0 0 NaN 0.00
Goa 1039 44 4.42 370 35.61 667 2 0 0.00 0.19
Ladakh 946 14 1.50 467 49.37 478 1 0 0.00 0.11
Himachal Pradesh 864 25 2.98 494 57.18 349 8 0 0.00 0.93
Puducherry 534 32 6.37 203 38.01 322 9 0 0.00 1.69
Chandigarh 425 2 0.47 335 78.82 84 6 0 0.00 1.41
Nagaland 371 16 4.51 162 43.67 209 0 0 NaN 0.00
Arunachal Pradesh 174 14 8.75 49 28.16 124 1 0 0.00 0.57
Dadra and Nagar Haveli and Daman and Diu 169 24 16.55 50 29.59 118 0 0 NaN 0.00
Mizoram 147 2 1.38 47 31.97 100 0 0 NaN 0.00
Sikkim 87 4 4.82 39 44.83 48 0 0 NaN 0.00
Andaman and Nicobar Islands 72 14 24.14 43 59.72 29 0 0 NaN 0.00
Meghalaya 48 2 4.35 42 87.50 5 1 0 0.00 2.08
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 990652 93431 170 0.18 9.43 622 48 11992 16608 17.78
Piemonte 402181 31296 20 0.06 7.78 316 15 1681 4071 13.01
Emilia-Romagna 474450 28351 47 0.17 5.98 114 11 1068 4249 14.99
Veneto 908873 19257 4 0.02 2.12 29 1 527 2006 10.42
Toscana 323864 10224 2 0.02 3.16 24 6 324 1101 10.77
Liguria 141472 9954 14 0.14 7.04 56 1 259 1556 15.63
Lazio 326651 8051 12 0.15 2.46 181 12 862 835 10.37
Marche 133007 6781 2 0.03 5.10 10 0 460 991 14.61
P.A. Trento 115938 4855 3 0.06 4.19 1 0 52 405 8.34
Campania 271460 4662 17 0.37 1.72 47 0 164 431 9.24
Puglia 170284 4530 1 0.02 2.66 27 0 173 543 11.99
Friuli Venezia Giulia 180978 3305 0 0.00 1.83 12 0 53 345 10.44
Abruzzo 101814 3284 1 0.03 3.23 32 2 371 461 14.04
Sicilia 199545 3076 2 0.07 1.54 17 5 130 280 9.10
P.A. Bolzano 81847 2634 0 0.00 3.22 3 1 87 292 11.09
Umbria 91832 1439 0 0.00 1.57 3 1 10 79 5.49
Sardegna 79422 1362 1 0.07 1.71 6 0 14 132 9.69
Valle d’Aosta 17848 1194 0 0.00 6.69 2 0 5 146 12.23
Calabria 91283 1175 0 0.00 1.29 10 0 28 97 8.26
Molise 21492 444 0 0.00 2.07 2 0 36 23 5.18
Basilicata 38261 401 0 0.00 1.05 1 0 7 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 55079 142 0.26 5448 7 0.13 9.89 6451.29 638.11 1 in 155
Ontario 36046 185 0.52 2703 13 0.48 7.50 2450.14 183.73 1 in 408
Alberta 7851 26 0.33 154 1 0.65 1.96 1779.00 34.90 1 in 562
British Columbia 2869 20 0.70 173 2 1.17 6.03 561.35 33.85 1 in 1781
Nova Scotia 1061 0 0.00 63 0 0.00 5.94 1085.47 64.45 1 in 921
Saskatchewan 759 2 0.26 13 0 0.00 1.71 642.31 11.00 1 in 1557
Manitoba 316 1 0.32 7 0 0.00 2.22 229.40 5.08 1 in 4359
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1635 8 0.49
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hong Kong 1193 7 0.59
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 874 9 1.03
Shandong 792 7 0.88
Shanghai 705 7 0.99
Jiangsu 654 0 0.00
Sichuan 589 3 0.51
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 319 3 0.94
Guangxi 254 2 0.79
Inner Mongolia 238 1 0.42
Shanxi 198 0 0.00
Tianjin 198 3 1.52
Yunnan 185 2 1.08
Hainan 171 6 3.51
Gansu 161 2 1.24
Jilin 155 2 1.29
Liaoning 154 2 1.30
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 7403.11 380.23 1 in 135
Brazil 5867.72 262.64 1 in 170
Russia 4243.24 59.47 1 in 236
India 366.24 11.43 1 in 2730
United Kingdom 4657.66 651.93 1 in 215
Peru 8349.46 272.33 1 in 120
Chile 14352.58 271.63 1 in 70
Spain 5304.03 607.16 1 in 189
Italy 3963.39 573.38 1 in 252
Iran 2650.27 124.82 1 in 377
Mexico 1570.83 193.96 1 in 637
France 2953.95 444.17 1 in 339
Pakistan 993.63 20.11 1 in 1006
Germany 2335.68 107.98 1 in 428
Turkey 2389.74 62.44 1 in 418
Saudi Arabia 5180.30 43.35 1 in 193
Bangladesh NA NA 1 in NA
South Africa 2087.01 40.41 1 in 479
Canada 2779.01 227.91 1 in 360
Qatar 34800.30 40.17 1 in 29

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 213699 22384 10.47
Los Angeles California 91577 3247 3.55
Cook Illinois 88650 4500 5.08
Nassau New York 41646 2180 5.23
Suffolk New York 41151 1974 4.80
Maricopa Arizona 37135 694 1.87
Westchester New York 34642 1416 4.09
Miami-Dade Florida 28664 935 3.26
Harris Texas 27016 353 1.31
Philadelphia Pennsylvania 25443 1583 6.22
Middlesex Massachusetts 23741 1825 7.69
Wayne Michigan 22453 2703 12.04
Suffolk Massachusetts 19664 990 5.03
Bergen New Jersey 19167 1979 10.33
Hudson New Jersey 18775 1444 7.69
Essex New Jersey 18637 2011 10.79
Dallas Texas 18538 334 1.80
Prince George’s Maryland 18249 669 3.67
Passaic New Jersey 16819 1173 6.97
Middlesex New Jersey 16667 1307 7.84
Fairfield Connecticut 16547 1373 8.30
Union New Jersey 16334 1321 8.09
Essex Massachusetts 15952 1086 6.81
Riverside California 15142 435 2.87
Montgomery Maryland 14381 731 5.08
Fairfax Virginia 13611 457 3.36
Rockland New York 13549 667 4.92
Providence Rhode Island 12712 0 0.00
Broward Florida 12584 379 3.01
New Haven Connecticut 12245 1068 8.72
Worcester Massachusetts 12236 917 7.49
San Diego California 11961 352 2.94
Clark Nevada 11878 405 3.41
Palm Beach Florida 11840 486 4.10
Oakland Michigan 11826 1084 9.17
Orange California 11511 306 2.66
Hartford Connecticut 11483 1362 11.86
Hennepin Minnesota 11178 758 6.78
Marion Indiana 11042 675 6.11
San Bernardino California 10769 248 2.30
Orange New York 10679 478 4.48
Milwaukee Wisconsin 10674 381 3.57
Tarrant Texas 10363 218 2.10
District of Columbia District of Columbia 10159 543 5.35
Salt Lake Utah 9763 105 1.08
Mecklenburg North Carolina 9614 144 1.50
King Washington 9573 606 6.33
Lake Illinois 9514 411 4.32
Ocean New Jersey 9508 936 9.84
Norfolk Massachusetts 9082 924 10.17

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc